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/****************************************************************/
/* Parallel Combinatorial BLAS Library (for Graph Computations) */
/* version 1.5 -------------------------------------------------*/
/* date: 10/09/2015 ---------------------------------------------*/
/* authors: Ariful Azad, Aydin Buluc, Adam Lugowski ------------*/
/****************************************************************/
/*
Copyright (c) 2010-2015, The Regents of the University of California
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.
*/
#include <mpi.h>
#include <sys/time.h>
#include <iostream>
#include <functional>
#include <algorithm>
#include <vector>
#include <sstream>
#include "CombBLAS/CombBLAS.h"
using namespace std;
using namespace combblas;
template <typename IT, typename NT>
pair< FullyDistVec<IT,IT>, FullyDistVec<IT,NT> > TopK(FullyDistSpVec<IT,NT> & v, IT k)
{
// FullyDistVec::FullyDistVec(shared_ptr<CommGrid> commgrid, IT glen, NT initval)
FullyDistVec<IT,IT> sel(v.getcommgrid(), k, 0);
//void FullyDistVec::iota(IT globalsize, NT first)
sel.iota(k, v.TotalLength() - k);
FullyDistSpVec<IT,NT> sorted(v);
FullyDistSpVec<IT,IT> perm = sorted.sort();
// FullyDistVec FullyDistSpVec::operator(FullyDistVec & v)
FullyDistVec<IT,IT> topkind = perm(sel);
FullyDistVec<IT,NT> topkele = v(topkind);
return make_pair(topkind, topkele);
}
int main(int argc, char* argv[])
{
int nprocs, myrank;
MPI_Init(&argc, &argv);
MPI_Comm_size(MPI_COMM_WORLD,&nprocs);
MPI_Comm_rank(MPI_COMM_WORLD,&myrank);
if(argc < 6)
{
if(myrank == 0)
{
cout << "Usage: ./IndexingTest <BASEADDRESS> <Matrix> <IndexedMatrix> <VectorOne> <VectorTwo>" << endl;
cout << "Example: ./IndexingTest ../mfiles B_100x100.txt B_10x30_Indexed.txt rand10outta100.txt rand30outta100.txt" << endl;
cout << "Input files should be under <BASEADDRESS> in tuples format" << endl;
}
MPI_Finalize();
return -1;
}
{
string directory(argv[1]);
string normalname(argv[2]);
string indexdname(argv[3]);
string vec1name(argv[4]);
string vec2name(argv[5]);
normalname = directory+"/"+normalname;
indexdname = directory+"/"+indexdname;
vec1name = directory+"/"+vec1name;
vec2name = directory+"/"+vec2name;
ifstream inputvec1(vec1name.c_str());
ifstream inputvec2(vec2name.c_str());
if(myrank == 0)
{
if(inputvec1.fail() || inputvec2.fail())
{
cout << "One of the input vector files do not exist, aborting" << endl;
MPI_Abort(MPI_COMM_WORLD, NOFILE);
return -1;
}
}
MPI_Barrier(MPI_COMM_WORLD);
typedef SpParMat <int, double , SpDCCols<int,double> > PARDBMAT;
shared_ptr<CommGrid> fullWorld;
fullWorld.reset( new CommGrid(MPI_COMM_WORLD, 0, 0) );
PARDBMAT A(fullWorld);
PARDBMAT AID(fullWorld);
PARDBMAT ACID(fullWorld);
FullyDistVec<int,int> vec1(fullWorld);
FullyDistVec<int,int> vec2(fullWorld);
A.ReadDistribute(normalname, 0);
AID.ReadDistribute(indexdname, 0);
vec1.ReadDistribute(inputvec1, 0);
vec2.ReadDistribute(inputvec2, 0);
vec1.Apply(bind2nd(minus<int>(), 1)); // For 0-based indexing
vec2.Apply(bind2nd(minus<int>(), 1));
ACID = A(vec1, vec2);
if (ACID == AID)
{
SpParHelper::Print("Indexing working correctly\n");
}
else
{
SpParHelper::Print("ERROR in indexing, go fix it!\n");
}
FullyDistVec<int,int> crow(fullWorld);
FullyDistVec<int,int> ccol(fullWorld);
FullyDistVec<int,double> cval(fullWorld);
A.Find(crow, ccol, cval);
FullyDistSpVec<int, double> sval = cval;
sval.DebugPrint();
pair< FullyDistVec<int,int> , FullyDistVec<int,double> > ptopk;
ptopk = TopK(sval, 3);
//ptopk.first.DebugPrint();
//ptopk.second.DebugPrint();
// generate random permutations
FullyDistVec<int,int> p(fullWorld);
FullyDistVec<int,int> q(fullWorld);
p.iota(A.getnrow(), 0);
q.iota(A.getncol(), 0);
p.RandPerm();
q.RandPerm();
PARDBMAT B = A(p,q);
A.PrintInfo();
B.PrintInfo();
float oldbalance = A.LoadImbalance();
float newbalance = B.LoadImbalance();
ostringstream outs;
outs << "Old balance: " << oldbalance << endl;
outs << "New balance: " << newbalance << endl;
SpParHelper::Print(outs.str());
SpParHelper::Print(outs.str());
// B = P A Q
// get the inverse permutations
FullyDistVec<int, int> pinv = p.sort();
FullyDistVec<int, int> qinv = q.sort();
SpParHelper::Print("Sorts are done\n");
PARDBMAT C = B(pinv,qinv);
if(C == A)
{
SpParHelper::Print("Double permutation successfully restored the original\n");
}
else
{
SpParHelper::Print("Error in permutation\n");
}
inputvec1.clear();
inputvec1.close();
inputvec2.clear();
inputvec2.close();
}
MPI_Finalize();
return 0;
}
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